[논문]Scale Development and Model Validation for the Process of Exercise Engagement for People with Prediabetes

Chang, Shu-Chuan; Yeh, Hsiu-Chen; Kuo, Yu-Lun

doi:10.4040/jkan.2020.50.2.298

Scale Development and Model Validation for the Process of Exercise Engagement for People with Prediabetes 원문보기

Journal of Korean academy of nursing = 대한간호학회지, v.50 no.2, 2020년, pp.298 - 312

Chang, Shu-Chuan (Nursing Committee, Buddhist Tzu Chi General Hospital) , Yeh, Hsiu-Chen (Department of Nursing, Buddhist Tzu Chi General Hospital) , Kuo, Yu-Lun (Department of Nursing, Tzu Chi University of Science and Technology)

Abstract ▼ AI-Helper

Purpose: This study had two objectives: 1) to develop a scale for the process of exercise engagement (SPEE) for prediabetic individuals (PDIs); 2) to validate a structural model for the process of exercise engagement for PDIs. Methods: A cross-sectional survey with simple random sampling was conducted from September 2013 to December 2015 (in Taiwan). A total of 310 PDIs were enrolled for scale development and model validation via item analysis, factor analyses, and structural equation modeling. The Kuo model was used as the basis for developing the Chinese version of the SPEE for PDIs. Results: The SPEE contains five subscales with a total of twenty-one items that account for 54.9% to 65.9% of the total variance explained for assessing participants' process of engagement during exercise. For Kuo model validation, the model measures indicated goodness of fit between the Kuo model and sample data. Analysis further revealed a direct effect between the creating health blueprints (CHB) stage and the spontaneous regular exercise (SRE) stage (β=.60). Conclusion: The SPEE includes five subscales for assessing the psychological transition and behavioral expression at each stage of the process of exercise engagement for PDIs. The SPEE for people with prediabetes provides deeper insights into the factors of behavioral change stages that are required to initiate long-term health care outcomes and avoid developing diabetes. These insights are significant as they allow for patient-specific mapping and behavior modification to effect exercise.

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참고문헌 (33)

International Diabetes Federation (IDF). IDF diabetes atlas (seventh edition) [Internet]. Brussels: IDF; c2015 [cited 2019 Jan 13]. Available from: https://diabetesatlas.org/upload/resources/previous/files/7/IDF%20Diabetes%20Atlas%207th.pdf.
Li G, Zhang P, Wang J, Gregg EW, Yang W, Gong Q, et al. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing diabetes prevention study: A 20-year follow-up study. The Lancet. 2008;371(9626):1783-1789. https://doi.org/10.1016/S0140-6736(08)60766-7

상세보기
Chen KT, Chen CJ, Gregg EW, Imperatore G, Narayan KMV. Impaired fasting glucose and risk of diabetes in Taiwan: Follow-up over 3 years. Diabetes Research and Clinical Practice. 2003;60(3):177-182. https://doi.org/10.1016/s0168-8227(03)00037-8

상세보기
Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M. Prediabetes: A high-risk state for diabetes development. Lancet. 2012;379(9833):2279-2290. https://doi.org/10.1016/S0140-6736(12)60283-9

상세보기
Shaye K, Amir T, Shlomo S, Yechezkel S. Fasting glucose levels within the high normal range predict cardiovascular outcome. American Heart Journal. 2012;164(1):111-116. https://doi.org/10.1016/j.ahj.2012.03.023

상세보기
Plantinga LC, Crews DC, Coresh J, Miller ER 3rd, Saran R, Yee J, et al. Prevalence of chronic kidney disease in US adults with undiagnosed diabetes or prediabetes. Clinical Journal of American Society of Nephrology. 2010;5(4):673-682. https://doi.org/10.2215/CJN.07891109

상세보기
Diabetes Prevention Program Research Group. The prevalence of retinopathy in impaired glucose tolerance and recent-onset diabetes in the diabetes prevention program. Diabetic Medicine. 2007;24(2):137-144. https://doi.org/10.1111/j.1464-5491.2007.02043.x

상세보기
Lindstrom J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemio K, et al. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: Follow-up of the Finnish diabetes prevention study. The Lancet. 2006;368(9548):1673-1679. https://doi.org/10.1016/S0140-6736(06)69701-8

상세보기
Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, et al. The Finnish diabetes prevention study (DPS): Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003;26(12):3230-3236. https://doi.org/10.2337/diacare.26.12.3230

상세보기
The Diabetes Prevention Program (DPP) Research Group. The diabetes prevention program (DPP): Description of lifestyle intervention. Diabetes Care. 2002;25(12):2165-2171. https://doi.org/10.2337/diacare.25.12.2165

상세보기
Pedley CF, Case LD, Blackwell CS, Katula JA, Vitolins MZ. The 24-month metabolic benefits of the healthy living partnerships to prevent diabetes: A community-based translational study. Diabetes & Metabolic Syndrome. 2018;12(3):215-220. https://doi.org/10.1016/j.dsx.2017.09.011

상세보기
Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: The Da Qing IGT and diabetes study. Diabetes Care. 1997;20(4):537-544. https://doi.org/10.2337/diacare.20.4.537

상세보기
Boniol M, Dragomir M, Autier P, Boyle P. Physical activity and change in fasting glucose and HbA1c: A quantitative meta-analysis of randomized trials. Acta Diabetologica. 2017;54(11):983-991. https://doi.org/10.1007/s00592-017-1037-3

상세보기
Sato Y, Nagasaki M, Kubota M, Uno T, Nakai N. Clinical aspects of physical exercise for diabetes/metabolic syndrome. Diabetes Research and Clinical Practice. 2007;77(3 Suppl): S87-S91. https://doi.org/10.1016/j.diabres.2007.01.039

상세보기
Bai YL, Wang LM, Hung SY, Chiou CP. [Exercise benefits for health of elderly diabetics]. Journal of Taiwan Nephrology Nurses Association. 2012;11(3):1-7. Chinese.
Kuo YL, Chang SC, Chang M, Wang YW, Yeh SC. [The effects of multi-approach health education on people with pre-diabetes]. Journal of Evidence-Based Nursing. 2008;4(4):297-306. Chinese. https://doi.org/10.6225/JEBN.4.4.297
Chang SC, Hayter M, Yeh HC, Hsieh TC, Kuo YL. The effectiveness of different health education strategies in people with pre-diabetes: A randomized controlled trial. Journal of Health Science. 2016;6(2):22-29. https://doi.org/10.5923/j.health.20160602.02
Kuo YL, Wu SC, Hayter M, Hsu WL, Chang M, Huang SF, et al. Exercise engagement in people with prediabetes--a qualitative study. Journal of Clinical Nursing. 2014;23(13-14):1916-1926. https://doi.org/10.1111/jocn.12424

상세보기
McAuley E. Self-efficacy and the maintenance of exercise participation in older adults. Journal of Behavioral Medicine. 1993;16(1):103-113. https://doi.org/10.1007/bf00844757

상세보기
Lin CY, Chi LK. [Development of the sport motivation scale: Analysis of reliability and validity]. Bulletin of Sport and Exercise Psychology of Taiwan. 2003;(2):15-32. Chinese.
Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. American Journal of Health Promotion. 1997;12(1):38-48.

상세보기
Stevens J. Applied multivariate statistics for the social sciences. 4th ed. Mahwah (NJ): Lawrence Erlbaum Associates; 2002. p. 203-204.
Gorsuch RL. Factor analysis. 2nd ed. Hillsdale (NJ): Lawrence Erlbaum Associates; 1983. p. 109-110.
Thompson B. Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, D.C.: American Psychological Association; 2004. p. 273-275.
Davis LL. Instrument review: Getting the most from a panel of experts. Applied Nursing Research. 1992;5(4):194-197. https://doi.org/10.1016/S0897-1897(05)80008-4

상세보기
Ferketich S. Focus on psychometrics. Aspects of item analysis. Research in Nursing & Health. 1991;14(2):165-168. https://doi.org/10.1002/nur.4770140211

상세보기
Lautenschlager GJ, Lance CE, Flaherty VL. Parallel analysis criteria: Revised equations for estimating the latent roots of random data correlation matrices. Educational and Psychological Measurement. 1989;49(2):339-345. https://doi.org/10.1177/0013164489492006

상세보기
Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. Harlow: Pearson Education Limited; 2014. p. 115.
Hooper D, Coughlan J, Mullen M. Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods. 2008;6(1):53-60. https://doi.org/10.21427/D7CF7R
Lattin JM, Carroll JD, Green PE. Analyzing multivariate data. Pacific Grove (CA): Thomson Brooks/Cole; 2003. p. 351-352.
Wu FL, Juang JH, Lin CH. Development and validation of the hypoglycaemia problem-solving scale for people with diabetes mellitus. Journal of International Medical Research. 2016;44(3):592-604. https://doi.org/10.1177/0300060516636752

상세보기
Ebrahimi H, Karimi Moonaghi H, Asghari Jafarabadi M, Namdar Areshtanab H, Jouybari L. Development and preliminary validation of diabetes adjustment assessment scale (DAAS): A new measure of adjustment with type 2 diabetes. Journal of Caring Sciences. 2016;5(2):145-152. https://doi.org/10.15171/jcs.2016.015

상세보기
Deci EL, Ryan RM. The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry. 2000;11(4):227-268. https://doi.org/10.1207/S15327965PLI1104_01

상세보기

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Scale Development and Model Validation for the Process of Exercise Engagement for People with Prediabetes 원문보기

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